Fine Tuning Assistant

🌐Community
by jmsktm · vlatest · Repository

This assistant streamlines fine-tuning processes by suggesting optimal hyperparameters and configurations for improved model performance.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add jmsktm-fine-tuning-assistant npx -- -y @trustedskills/jmsktm-fine-tuning-assistant
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "jmsktm-fine-tuning-assistant": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/jmsktm-fine-tuning-assistant"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill, "Fine-Tuning Assistant," helps you refine and improve the responses of AI agents. It allows for iterative adjustments to prompts and agent behavior based on feedback, enabling more tailored and accurate outputs. The assistant facilitates a structured process for identifying areas needing improvement and implementing targeted changes.

When to use it

  • Improving response accuracy: When an agent consistently provides incorrect or irrelevant information.
  • Refining tone and style: To adjust the agent's communication style to better suit specific contexts (e.g., formal vs. informal).
  • Correcting biases: To mitigate unwanted biases present in the agent’s responses.
  • Adapting to new tasks: When an agent needs to perform a task it wasn't originally trained for.

Key capabilities

  • Iterative prompt refinement
  • Feedback-driven adjustments
  • Targeted behavioral modifications
  • Bias mitigation support

Example prompts

  • "Fine-tune the assistant to respond more formally."
  • "The last response was inaccurate; please adjust the agent's knowledge base."
  • “Help me correct this bias in the assistant’s responses about [topic].”

Tips & gotchas

This skill requires a foundational understanding of prompt engineering and AI agent behavior. Effective use relies on providing clear, specific feedback for targeted adjustments.

Tags

🛡️

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Details

Version
vlatest
License
Author
jmsktm
Installs
4

🌐 Community

Passed automated security scans.